Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems.
Aretha L. TeckentrupPublished in: CoRR (2019)
Keyphrases
- gaussian process regression
- hyperparameters
- inverse problems
- gaussian processes
- gaussian process
- bayesian inference
- image reconstruction
- maximum a posteriori
- model selection
- cross validation
- maximum likelihood
- random sampling
- global optimization
- closed form
- bayesian framework
- convex optimization
- parameter space
- prior information
- support vector
- em algorithm
- noise level
- sample size
- incremental learning
- optimization methods
- missing values
- incomplete data
- expectation maximization
- probabilistic model
- bayesian networks
- noisy images
- regression model
- generative model
- high dimensional
- training set